Sr Software Engineer

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

As a Senior AI Full-Stack Product Engineer at ServiceNow, you will build AI-powered product experiences that solve meaningful Field Service Management customer problems. You will combine full-stack software engineering, product thinking, and hands-on AI development to deliver reliable, scalable production capabilities.

What you get to do in this role:

• Own end-to-end development across user interfaces, backend services, AI capabilities, enterprise data, and integrations.
• Partner with product managers, designers, and domain experts to understand customer needs and determine where AI delivers meaningful value.
• Build applications using large language models (LLMs), retrieval-augmented generation (RAG), structured outputs, tool calling, and agentic workflows.
• Develop conversational and multimodal experiences across web, chat, and voice, with attention to usability, context, latency, and reliability.
• Integrate AI capabilities with enterprise APIs, data, and business workflows while enforcing security, privacy, and access controls.
• Design multi-step AI workflows with appropriate autonomy, human handoffs, exception handling, and recovery.
• Develop and refine prompts, system instructions, and tool definitions using evaluations and production feedback.
• Build scalable application services with testing, observability, error handling, and performance optimization.
• Prototype rapidly and turn successful experiments into maintainable production software.
• Use AI coding tools effectively while maintaining engineering quality and security.
• Provide technical leadership, mentor engineers, and establish reusable development patterns.

To be successful in this role, you have:

• A bachelor’s degree in Computer Science or a related technical field.
• A strong track record of building and operating production software, including hands-on experience developing AI/LLM-powered applications.
• Full-stack development experience spanning user-facing applications, backend services, APIs, and data models.
• Strong software engineering fundamentals in system design, distributed systems, testing, and production operations.
• Practical knowledge of prompting, context management, RAG, structured outputs, tool calling, and agent orchestration.
• Experience integrating applications with enterprise data, APIs, workflows, and external systems.
• An understanding of AI application trade-offs, including latency, cost, reliability, hallucination, grounding, security, and data privacy.
• The ability to use evaluations, tracing, and observability to diagnose failures and improve production behavior.
• Strong product judgment and the ability to take ambiguous customer problems from concept to production.
• Effective collaboration, communication, technical leadership, and mentoring skills.

Preferred qualifications:

• Experience building agentic applications and multi-step autonomous workflows.
• Experience with conversational, multimodal, voice, streaming, or real-time AI applications.
• Experience delivering AI-powered enterprise workflows.
• Experience with AI coding agents, rapid prototyping, and developer productivity tools.
• Forward deployment experience, working directly with customers to implement solutions and demonstrate measurable outcomes.
• Experience building products used by enterprise customers.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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